Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.
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ABSTRACT:
SUBMITTER: Sarkka S
PROVIDER: S-EPMC3303954 | biostudies-literature | 2012 Apr
REPOSITORIES: biostudies-literature
Publications
Dynamic retrospective filtering of physiological noise in BOLD fMRI: DRIFTER.
Särkkä Simo S Solin Arno A Nummenmaa Aapo A Vehtari Aki A Auranen Toni T Vanni Simo S Lin Fa-Hsuan FH
NeuroImage 20120118 2
In this article we introduce the DRIFTER algorithm, which is a new model based Bayesian method for retrospective elimination of physiological noise from functional magnetic resonance imaging (fMRI) data. In the method, we first estimate the frequency trajectories of the physiological signals with the interacting multiple models (IMM) filter algorithm. The frequency trajectories can be estimated from external reference signals, or if the temporal resolution is high enough, from the fMRI data. The ...[more]
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